Predicting progression from mild cognitive impairment to Alzheimer's dementia using clinical, MRI, and plasma biomarkers via probabilistic pattern classification

PLoS ONE

Volumn 11, Issue 2, 2016, Pages

  Korolev, Igor O ^a,b   Symonds, Laura L ^a   Bozoki, Andrea C ^a,c  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b MICHIGAN STATE UNIVERSITY   (United States)

^c East Lansing   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APOLIPOPROTEIN E; BIOLOGICAL MARKER;

AGE; AGED; ALZHEIMER DISEASE; ALZHEIMER DISEASE ASSESSMENT SCALE; ARTICLE; CLASSIFIER; CONTROLLED STUDY; CORTICAL THICKNESS (BRAIN); COST EFFECTIVENESS ANALYSIS; DEPRESSION; DRUG USE; EDUCATIONAL STATUS; FEMALE; FOLLOW UP; FUNCTIONAL ACTIVITIES QUESTIONNAIRE; FUNCTIONAL ASSESSMENT; HIPPOCAMPUS; HUMAN; INFERIOR PARIETAL CORTEX; MAJOR CLINICAL STUDY; MALE; MEASUREMENT ACCURACY; MIDDLE TEMPORAL GYRUS; MILD COGNITIVE IMPAIRMENT; MORPHOMETRICS; NEUROIMAGING; NON INVASIVE MEASUREMENT; NUCLEAR MAGNETIC RESONANCE IMAGING; PREDICTION; PROBABILISTIC MULTIPLE KERNEL LEARNING; PROGNOSIS; PROTEOMICS; REY AUDITORY VERBAL LEARNING TEST; RISK FACTOR; SENSITIVITY AND SPECIFICITY; SEX; BLOOD; COGNITIVE DEFECT; DEMENTIA; DISEASE COURSE; PATHOPHYSIOLOGY; PROCEDURES; THEORETICAL MODEL; VERY ELDERLY;

AGED; AGED, 80 AND OVER; ALZHEIMER DISEASE; BIOMARKERS; COGNITIVE DYSFUNCTION; DEMENTIA; DISEASE PROGRESSION; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; MODELS, THEORETICAL;

EID: 84961180997     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0138866     Document Type: Article

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